TS half of P3.1/P3.2/P3.3: wire the new WASM exports and delete the TS
approximations now that geometric-dislike, jolt, OU, and the seeded RNG live
in the C++/WASM core.
- types.ts/wasm-iml.ts: bind + wrap dislike_geometric, store_positive,
positive/negative_count, set_avoid_style, jolt_press/step/release/active/
lr_scale/tick_lr_ramp, explore_intensity/get/apply. Weight-mutating wrappers
republish weights (version bump); explore_apply reuses feedbackBuf.
- engine-api: extend .feedback (dislikeGeometric/storePositive/counts/
setAvoidStyle) + new .explore facade. thumbsDown now passes the HEARD
(routed) vector, not the raw MLP output (raw == net output => inert cold-start).
- feedback/controller.ts: delete dislikes[] + applyDislikeBias + both C++ GAP
blocks + the SeededRng field; dislike() -> core dislikeGeometric (returns
action, 15 => cold-start prompt); like() feeds the centroid via the core
thumbsUp; getState() exposes positive/negative counts. Delete feedback/rng.ts.
- engine/exploration.ts: execute the P3 SWAP POINT -> drive engine.explore.*;
delete engine/jolt.ts + ou-explore.ts. UI surface unchanged.
- ConsoleApp: one-time cold-start banner (British spelling), routed heard vector
at the dislike call site.
- App.tsx/spine.ts: under ?debug=1 pin a fixed seed + fixed per-tick dt so the
probe/e2e are deterministic (production keeps time-seeded, real-time dt).
- tests: new geo-dislike.spec.ts; probe gains dislikeGeometric/storePositive/
feedbackCounts/setAvoidStyle; the thumbsDown probe test now drives a real
distinct-heard-vector dislike (bare thumbsDown on the net's own output is
correctly inert under the geometric core). 27 e2e + 9 unit green.
Docs: manifold/ONBOARDING.md engine+feedback sections synced.
Migrate the specs worth keeping from playground/tests/e2e (retired in P1) into
manifold/tests/e2e, adapted to Manifold's probe surface:
- probe-api.spec.ts: the window.__nisps debug-probe contract (ready, bounded
outputs, example count, randomise, setInputs inference, thumbsUp/Down,
addExample, train loss non-increasing, async train, clearExamples, evalLoss,
inferBatch, getLayerStats, getWeights). Retargeted to MLP<32,10,14,18,126>
(weight_count 3148) and Manifold's direct addExample/routedOutputs surface;
dropped the playground's __init/iml-poke escape hatches and stream-pending
skips.
- spine.spec.ts: the spine invariant — setInputs -> processed -> ml -> routed
yields bounded, consistent routed outputs; the probe stays alive across dock
output-mode switches (driven via the real selector UI, replacing the
playground's localStorage-reload mode cycling).
- helpers.ts: loadProbe(?debug=1 + cleared storage + __ready wait), settleInputs
for EMA convergence, bounded/changed assertions.
Dropped playground UI specs (ui-interactions, persistence, mode-registry list)
that die with the playground chrome. No probe.ts changes needed.
